Skip to content

Repository files navigation

JobLens — LinkedIn Job Analyzer

A Chrome extension that overlays signal chips on every LinkedIn job posting and lets you permanently hide jobs from companies you don't want to see — all without reading a single full description.

JobLens chips: Sponsorship · Software Role · Experience · Applicants


Chips

Chip What it shows
Sponsorship Teal = likely sponsors. Red = explicit denial detected.
Applicants Color-coded count — green (<100) → yellow → red → dark red (1000+).
Pay Salary/comp range extracted from the JD.
Experience Years required extracted from the JD (e.g. 3–5 yrs, 2+ yrs).
Language Top 1–2 tech languages/frameworks detected (e.g. Python, React).
Software Role Green = software eng. Red = non-software (hardware/mfg). Yellow = unclear.

Hovering a chip shows a tooltip with matched keywords and confidence details.


Company Blocklist

The killer feature. Never see jobs from recruiters, body shops, or companies you've already ruled out.

  • Hover ✕ button — hover any job card on the left panel and a red ✕ appears at the bottom-right. Click it to instantly hide all jobs from that company, forever.
  • Popup manager — click the JobLens icon in your toolbar to view, add, or remove blocked companies.
  • Persistent — blocklist is stored in chrome.storage.local and survives page reloads, browser restarts, and LinkedIn SPA navigation.
  • Partial matching — blocking "google" hides "Google LLC", "Google DeepMind", etc.
  • Instant effect — cards vanish the moment you block a company; unblocking restores them on the next page load.

Features

  • H-1B / Visa sponsorship detection — 60+ positive and negative patterns covering explicit denials ("does not provide visa sponsorship", "not eligible for U.S. immigration sponsorship"), exclusion lists ("No H1B, OPT, CPT"), security clearance requirements (ITAR, DoD), and positive signals ("immigration assistance", "willing to sponsor").
  • Software role classifier — weighted keyword scoring across job title, responsibilities, requirements, and about sections.
  • Experience extraction — regex engine covering ranges (3–5 yrs), plus (2+ yrs), written numbers ("four years"), parentheticals ("(4) years"), hyphenated forms, and 10+ other patterns.
  • Applicant count — supports both old and new LinkedIn layouts, including premium insight panels.
  • In-page highlighting — matched sponsorship, experience, and language phrases are highlighted directly in the job description with word-boundary precision (dark-mode compatible).
  • SPA-aware — uses MutationObserver + URL-based job key caching to update chips on navigation without flickering.
  • Works on all LinkedIn job URLs — search results side panel, direct /jobs/view/ links, and new data-sdui-screen layout.

Install (Developer Mode)

  1. Clone or download this repo.
  2. Open Chrome → chrome://extensions
  3. Enable Developer mode (top-right toggle).
  4. Click Load unpacked → select this folder.
  5. Open any LinkedIn job posting — chips appear below the job title.

To update after pulling changes: click the refresh icon on the extension card in chrome://extensions, then hard-refresh (Cmd+Shift+R) the LinkedIn tab.


File Overview

File Purpose
manifest.json Extension manifest (MV3)
classifier.js Keyword classifier · experience extractor · sponsorship analyzer · language detector
highlighter.js DOM text highlighter for sponsorship, experience, compensation, and language phrases
blocker.js Company blocklist — card detection, hover ✕ button, storage, MutationObserver
popup.html / popup.js Toolbar popup UI for managing the blocked companies list
content-script.js DOM orchestration — finds title, injects chip row, drives all modules
styles.css Chip, highlight, blocklist button, and blocked-card styles

Tech

  • Manifest V3, content scripts only
  • No external APIs — fully client-side
  • chrome.storage.local for blocklist persistence
  • Tested on Chrome; should work on any Chromium-based browser

About

Chrome extension that overlays visa sponsorship, role type, experience, and applicant count chips on LinkedIn job postings.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages